Sabine Niederer. Networked Content Analysis: The Case of Climate Change. Amsterdam: Institute of Network Cultures, 2019.

Over the last decade, images have become a key feature of digital culture; at the same time, they have made a mark on a wide range of research practices. Visual Methods for Digital Research is the first textbook to bring the fields of visual methods and digital research together. Presenting visual methods for digital and participatory research, the book covers both the application of existing digital methods for image research and new visual methodologies developed specifically for digital research. It encompasses various approaches to studying digital images, including the distant reading of image collections, the close reading of visual vernaculars of social media platforms, and participatory research with visual materials. Offering a theoretical framework illustrated with hands-on techniques, Sabine Niederer and Gabriele Colombo provide compelling examples for studying online images through visual and digital means, and discuss critical data practices such as data feminism and digital methods for social and cultural research. This textbook is an accessible and invaluable guide for students and researchers of digital humanities, social sciences, information and communication design, critical data visualization and digital visual culture.

What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know? Since the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces readers to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry. Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer readers the most current techniques and research on content analysis, including new information on reliability and social media. Readers will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis.

This provocative new introduction to the field of digital sociology offers a critical overview of interdisciplinary debates about new ways of knowing society that are emerging today at the interface of computing, media, social research and social life. Digital Sociology introduces key concepts, methods and understandings that currently inform the development of specifically digital forms of social enquiry. Marres assesses the relevance and usefulness of digital methods, data and techniques for the study of sociological phenomena and evaluates the major claim that computation makes possible a new ‘science of society’. As Marres argues, the digital does much more than inspire innovation in social research: it forces us to engage anew with fundamental sociological questions. We must learn to appreciate that the digital has the capacity to throw into crisis existing knowledge frameworks and is likely to reconfigure wider relations. This timely engagement with a key transformation of our age will be indispensable reading for undergraduate and graduate students taking courses in digital sociology, digital media, computing and society.

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.

Climate Change and Cities bridges science-to-action for climate change adaptation and mitigation efforts in cities around the world.